Data Scientist

Position Summary

As an Analytics Consultant at EXL, you will play a crucial role in providing consulting and analytics support to a client within our Sports and Media practice. The primary responsibility of this role is to leverage your expertise in data analytics to empower the client in making informed business decisions. You will work with a dynamic team and contribute to the success of Fortune 500 companies across various industry domains.

Responsibilities:

• Collaborate with the client to understand their business objectives and challenges within the Sports & Media sectors.
• Work closely with clients to understand their requirements and ensure the delivery of high-quality analytics solutions.
• Utilize your strong analytical and problem-solving skills to extract meaningful insights from data and contribute to data-driven decision-making.
• Use variety of analytical tools (SQL, Python) and techniques (regression, decision trees, machine learning concepts etc.) to carry out analyses, create ML models and drive conclusions.
• Support the integration of data science capabilities for the client to help solve tangible problems with measurable impact.
• Create compelling visualizations, storyboards, and reports to effectively communicate insights to both technical and non-technical stakeholders.
• Contribute to the continuous improvement of analytics processes and methodologies.

Qualifications (Required):

• Bachelors degree in economics, mathematics, computer science/engineering, operations research or related analytics areas
• 3-5 years of hands-on experience in data and analytics roles.
• Extremely proficient in SQL for robust data extraction and analysis.
• Strong programming skills in Python.
• Familiarity with Git and code/data version control.
• Intermediate expertise in Machine Learning concepts and applications.
• Excellent communication (written & verbal), problem-solving, and critical thinking skills.
• Self-started and willingness to take on challenging initiatives.
• Effective time management and attention to detail
• Good knowledge of statistical analysis and experimental design.
• Ability to explain technical analyses to non-technical audience.

Qualifications (Preferred):

• Master's degree in a relevant field (e.g., Data Science, Analytics, Business Analytics).
• Industry experience in Sports or Media.
• Familiarity with additional data analysis and visualization tools.
• Advanced statistical analysis and modeling skills.
• Familiarity with data science governance practices